A new Monte Carlo model for predicting the mechanical properties of
fiber yarns

XD Wei and M Ford and RA Soler-Crespo and HD Espinosa, JOURNAL OF THE
MECHANICS AND PHYSICS OF SOLIDS, 84, 325-335 (2015).

DOI: 10.1016/j.jmps.2015.08.005

Understanding the complicated failure mechanisms of hierarchical
composites such as fiber yarns is essential for advanced materials
design. In this study, we developed a new Monte Carlo model for
predicting the mechanical properties of fiber yarns that includes
statistical variation in fiber strength. Furthermore, a statistical
shear load transfer law based on the shear lag analysis was derived and
implemented to simulate the interactions between adjacent fibers and
provide a more accurate tensile stress distribution along the overlap
distance. Simulations on two types of yarns, made from different raw
materials and based on distinct processing approaches, predict yarn
strength values that compare favorably with experimental measurements.
Furthermore, the model identified very distinct dominant failure
mechanisms for the two materials, providing important insights into
design features that can improve yarn strength. (C) 2015 Elsevier Ltd.
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